Capabilities
7-day heat trend
−19.2%Pricing breakdown
Typical 3:1 output-to-input mix, per 1M tokens
Estimated monthly cost by workload
Market position
- Cheaper than 43% of tracked models
- Faster than 97% of tracked models
- Efficiency rank: #471 of 1105
Best suited for
Mixed text, image, audio and document workloads that benefit from one model across modalities.
About qwen-vl-ocr
Qwen VL OCR is a Qwen visual model family optimized for OCR and document image understanding.
qwen-vl-ocr is a Multimodal model from Qwen (CN). HotON.ai tracks it at $0.00 per 1M input tokens and $0.00 per 1M output tokens, with a 131K-token context window, ~172 tokens/sec throughput and 97.3% availability. Its composite efficiency score is 89/100 at an estimated $0.000 per successful task.
Compare qwen-vl-ocr
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Frequently asked questions
How much does qwen-vl-ocr cost per 1M tokens?+
qwen-vl-ocr is tracked at $0.00 per 1M input tokens and $0.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.00 per 1M tokens. Figures are illustrative demo data.
What is qwen-vl-ocr best for?+
Mixed text, image, audio and document workloads that benefit from one model across modalities.
How fast is qwen-vl-ocr?+
qwen-vl-ocr delivers about 172 tokens/sec with 97.3% tracked availability, suitable for latency-sensitive, real-time applications.
Is qwen-vl-ocr cheaper than other AI models?+
Within the HotON.ai tracked set, qwen-vl-ocr is cheaper than 43% of models on input price and ranks #471 of 1105 by overall efficiency.
Related models
Pricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Speed, availability and efficiency are modeled estimates.